A covariate-driven spatial deformation model for nonstationary GPs is created using Lie algebra velocity fields with truncated covariate interactions, supporting efficient estimation and prediction from limited sample pairs.
(2014), ‘New refinements and validation of the collection-6 modis land-surface temperature/emissivity product’, Remote sensing of Environment 140, 36–45
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes
A covariate-driven spatial deformation model for nonstationary GPs is created using Lie algebra velocity fields with truncated covariate interactions, supporting efficient estimation and prediction from limited sample pairs.